1 R yükleme

devtools::install_github("rstudio/addinexamples", type = "source")

Downloading GitHub repo rstudio/addinexamples@master
from URL https://api.github.com/repos/rstudio/addinexamples/zipball/master
Installing addinexamples
Downloading GitHub repo rstudio/rstudioapi@master
from URL https://api.github.com/repos/rstudio/rstudioapi/zipball/master
Installing rstudioapi
'/Library/Frameworks/R.framework/Resources/bin/R' --no-site-file --no-environ  \
  --no-save --no-restore --quiet CMD INSTALL  \
  '/private/var/folders/76/rq_s_23s7fd5r8hqrbg8rmnc0000gp/T/Rtmp1RuAIh/devtools117cf118cf1ae/rstudio-rstudioapi-d12cbc1'  \
  --library='/Library/Frameworks/R.framework/Versions/3.5/Resources/library'  \
  --install-tests 

* installing *source* package ‘rstudioapi’ ...
** R
** tests
** byte-compile and prepare package for lazy loading
** help
*** installing help indices
** building package indices
** installing vignettes
** testing if installed package can be loaded
* DONE (rstudioapi)
'/Library/Frameworks/R.framework/Resources/bin/R' --no-site-file --no-environ  \
  --no-save --no-restore --quiet CMD INSTALL  \
  '/private/var/folders/76/rq_s_23s7fd5r8hqrbg8rmnc0000gp/T/Rtmp1RuAIh/devtools117cf4d90ae96/rstudio-addinexamples-fae9609'  \
  --library='/Library/Frameworks/R.framework/Versions/3.5/Resources/library'  \
  --install-tests 

* installing *source* package ‘addinexamples’ ...
** R
** inst
** byte-compile and prepare package for lazy loading
** help
*** installing help indices
** building package indices
** testing if installed package can be loaded
* DONE (addinexamples)

2 R paket yükleme

install.packages("tidyverse", dependencies = TRUE)

URL 'https://cran.rstudio.com/bin/macosx/el-capitan/contrib/3.5/tidyverse_1.2.1.tgz' deneniyor
Content type 'application/x-gzip' length 88754 bytes (86 KB)
==================================================
downloaded 86 KB

The downloaded binary packages are in
    /var/folders/76/rq_s_23s7fd5r8hqrbg8rmnc0000gp/T//Rtmp1RuAIh/downloaded_packages

install.packages("jmv", dependencies = TRUE)

URL 'https://cran.rstudio.com/bin/macosx/el-capitan/contrib/3.5/jmv_0.8.6.2.tgz' deneniyor
Content type 'application/x-gzip' length 2584310 bytes (2.5 MB)
==================================================
downloaded 2.5 MB

The downloaded binary packages are in
    /var/folders/76/rq_s_23s7fd5r8hqrbg8rmnc0000gp/T//Rtmp1RuAIh/downloaded_packages

install.packages("questionr", dependencies = TRUE)

also installing the dependency ‘memisc’

URL 'https://cran.rstudio.com/bin/macosx/el-capitan/contrib/3.5/memisc_0.99.14.9.tgz' deneniyor
Content type 'application/x-gzip' length 2334942 bytes (2.2 MB)
==================================================
downloaded 2.2 MB

URL 'https://cran.rstudio.com/bin/macosx/el-capitan/contrib/3.5/questionr_0.6.2.tgz' deneniyor
Content type 'application/x-gzip' length 1602152 bytes (1.5 MB)
==================================================
downloaded 1.5 MB

The downloaded binary packages are in
    /var/folders/76/rq_s_23s7fd5r8hqrbg8rmnc0000gp/T//Rtmp1RuAIh/downloaded_packages

install.packages("Rcmdr", dependencies = TRUE)

URL 'https://cran.rstudio.com/bin/macosx/el-capitan/contrib/3.5/Rcmdr_2.4-4.tgz' deneniyor
Content type 'application/x-gzip' length 4984686 bytes (4.8 MB)
==================================================
downloaded 4.8 MB

The downloaded binary packages are in
    /var/folders/76/rq_s_23s7fd5r8hqrbg8rmnc0000gp/T//Rtmp1RuAIh/downloaded_packages

require(tidyverse)

Zorunlu paket yükleniyor: tidyverse
── Attaching packages ───────────────────────────────────────── tidyverse 1.2.1 ──
✔ ggplot2 3.0.0     ✔ purrr   0.2.5
✔ tibble  1.4.2     ✔ dplyr   0.7.6
✔ tidyr   0.8.1     ✔ stringr 1.3.1
✔ readr   1.1.1     ✔ forcats 0.3.0
package ‘dplyr’ was built under R version 3.5.1── Conflicts ──────────────────────────────────────────── tidyverse_conflicts() ──
✖ dplyr::filter() masks stats::filter()
✖ dplyr::lag()    masks stats::lag()

require(jmv)

Zorunlu paket yükleniyor: jmv

Attaching package: ‘jmv’

The following object is masked from ‘package:stats’:

    anova

require(questionr)

Zorunlu paket yükleniyor: questionr

library(Rcmdr)

Zorunlu paket yükleniyor: splines
Zorunlu paket yükleniyor: RcmdrMisc
Zorunlu paket yükleniyor: car
Zorunlu paket yükleniyor: carData

Attaching package: ‘car’

The following object is masked from ‘package:dplyr’:

    recode

The following object is masked from ‘package:purrr’:

    some

Zorunlu paket yükleniyor: sandwich

Attaching package: ‘RcmdrMisc’

The following object is masked from ‘package:jmv’:

    reliability

Zorunlu paket yükleniyor: effects
lattice theme set by effectsTheme()
See ?effectsTheme for details.

RcmdrMsg: [1] NOTE: R Commander Version 2.4-4: Wed Jul 11 17:17:06 2018

Rcmdr Version 2.4-4


Attaching package: 'Rcmdr'

The following object is masked from 'package:car':

    Confint

3 R studio ile proje oluşturma

https://support.rstudio.com/hc/en-us/articles/200526207-Using-Projects

4 RStudio ile veri yükleme

https://support.rstudio.com/hc/en-us/articles/218611977-Importing-Data-with-RStudio

5 Veriyi görüntüleme

Spreadsheet users using #rstats: where's the data?#rstats users using spreadsheets: where's the code?

— Leonard Kiefer (@lenkiefer) July 7, 2018

summary() View(data) data head tail glimpse str skim

6 Veriyi kod ile değiştirelim

7 RStudio aracılığıyla recode

questionr paketi kullanılacak

https://juba.github.io/questionr/articles/recoding_addins.html

8 Basit tanımlayıcı istatistikler

summary() mean median min max sd table()

library(readr)
irisdata <- read_csv("data/iris.csv")

Parsed with column specification:
cols(
  Sepal.Length = col_double(),
  Sepal.Width = col_double(),
  Petal.Length = col_double(),
  Petal.Width = col_double(),
  Species = col_character()
)

jmv::descriptives(
    data = irisdata,
    vars = "Sepal.Length",
    splitBy = "Species",
    freq = TRUE,
    hist = TRUE,
    dens = TRUE,
    bar = TRUE,
    box = TRUE,
    violin = TRUE,
    dot = TRUE,
    mode = TRUE,
    sum = TRUE,
    sd = TRUE,
    variance = TRUE,
    range = TRUE,
    se = TRUE,
    skew = TRUE,
    kurt = TRUE,
    quart = TRUE,
    pcEqGr = TRUE)

 DESCRIPTIVES

 Descriptives                                          
 ───────────────────────────────────────────────────── 
                          Species       Sepal.Length   
 ───────────────────────────────────────────────────── 
   N                      setosa                  50   
                          versicolor              50   
                          virginica               50   
   Missing                setosa                   0   
                          versicolor               0   
                          virginica                0   
   Mean                   setosa                5.01   
                          versicolor            5.94   
                          virginica             6.59   
   Std. error mean        setosa              0.0498   
                          versicolor          0.0730   
                          virginica           0.0899   
   Median                 setosa                5.00   
                          versicolor            5.90   
                          virginica             6.50   
   Mode                   setosa                5.00   
                          versicolor            5.50   
                          virginica             6.30   
   Sum                    setosa                 250   
                          versicolor             297   
                          virginica              329   
   Standard deviation     setosa               0.352   
                          versicolor           0.516   
                          virginica            0.636   
   Variance               setosa               0.124   
                          versicolor           0.266   
                          virginica            0.404   
   Range                  setosa                1.50   
                          versicolor            2.10   
                          virginica             3.00   
   Minimum                setosa                4.30   
                          versicolor            4.90   
                          virginica             4.90   
   Maximum                setosa                5.80   
                          versicolor            7.00   
                          virginica             7.90   
   Skewness               setosa               0.120   
                          versicolor           0.105   
                          virginica            0.118   
   Std. error skewness    setosa               0.337   
                          versicolor           0.337   
                          virginica            0.337   
   Kurtosis               setosa              -0.253   
                          versicolor          -0.533   
                          virginica           0.0329   
   Std. error kurtosis    setosa               0.662   
                          versicolor           0.662   
                          virginica            0.662   
   25th percentile        setosa                4.80   
                          versicolor            5.60   
                          virginica             6.23   
   50th percentile        setosa                5.00   
                          versicolor            5.90   
                          virginica             6.50   
   75th percentile        setosa                5.20   
                          versicolor            6.30   
                          virginica             6.90   
 ───────────────────────────────────────────────────── 

9 Rcmdr

library(Rcmdr)

10 Sonraki Konular

• RStudio ile GitHub
• Hipotez testleri
• R Markdown ve R Notebook ile tekrarlanabilir rapor

11 Diğer kodlar

• Diğer kodlar için bakınız: https://sbalci.github.io/

12 Geri Bildirim

• Geri bildirim için tıklayınız: Geri bildirim formu